Collections: - Name: STDC Metadata: Training Data: - Cityscapes Paper: URL: https://arxiv.org/abs/2104.13188 Title: Rethinking BiSeNet For Real-time Semantic Segmentation README: configs/stdc/README.md Code: URL: https://github.com/open-mmlab/mmsegmentation/blob/v0.20.0/mmseg/models/backbones/stdc.py#L394 Version: v0.20.0 Converted From: Code: https://github.com/MichaelFan01/STDC-Seg Models: - Name: stdc1_512x1024_80k_cityscapes In Collection: STDC Metadata: backbone: STDC1 crop size: (512,1024) lr schd: 80000 inference time (ms/im): - value: 43.37 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (512,1024) Training Memory (GB): 7.15 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 71.82 mIoU(ms+flip): 73.89 Config: configs/stdc/stdc1_512x1024_80k_cityscapes.py Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_512x1024_80k_cityscapes/stdc1_512x1024_80k_cityscapes_20220224_073048-74e6920a.pth - Name: stdc1_in1k-pre_512x1024_80k_cityscapes In Collection: STDC Metadata: backbone: STDC1 crop size: (512,1024) lr schd: 80000 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 74.94 mIoU(ms+flip): 76.97 Config: configs/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes.py Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes/stdc1_in1k-pre_512x1024_80k_cityscapes_20220224_141648-3d4c2981.pth - Name: stdc2_512x1024_80k_cityscapes In Collection: STDC Metadata: backbone: STDC2 crop size: (512,1024) lr schd: 80000 inference time (ms/im): - value: 42.18 hardware: V100 backend: PyTorch batch size: 1 mode: FP32 resolution: (512,1024) Training Memory (GB): 8.27 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 73.15 mIoU(ms+flip): 76.13 Config: configs/stdc/stdc2_512x1024_80k_cityscapes.py Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_512x1024_80k_cityscapes/stdc2_512x1024_80k_cityscapes_20220222_132015-fb1e3a1a.pth - Name: stdc2_in1k-pre_512x1024_80k_cityscapes In Collection: STDC Metadata: backbone: STDC2 crop size: (512,1024) lr schd: 80000 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.67 mIoU(ms+flip): 78.67 Config: configs/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes.py Weights: https://download.openmmlab.com/mmsegmentation/v0.5/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes/stdc2_in1k-pre_512x1024_80k_cityscapes_20220224_073048-1f8f0f6c.pth